Measurements
Qualitive data only, categorized using names, labels, or qualities, no mathematical computations can be made
Nominal Level of Measurement
Consist of information, coming from observations, counts, measurements or responses
Data
Involves organizing, summarizing, and displaying data
Descriptive Stats
Analyzing Data, collected from a population of sample without any experimental manipulation
Observational Study
Similar to interval, zero entry is an INHERENT zero and a ratio of 2 data values can be expressed as multiples
Ratio Level of measurement.
Statistics
Involves using sample data to draw conclusions about a population
Inferential Stats
A researcher actively manipulates one or more variables to observe the effect on another variable
Experiment
Qualitive or Quantitative data, data can be arranged in order, differences between data are NOT meaningful
Ordinal Level of Measurement
Collection of all outcome, responses, and measurements.
Population
Consist of attributes, labels, or nonnumerical values
Qualitative Data
Quantitative data, can be ordered, differences between data entries are meaningful and zero represents a position.
Interval Level of Measurement
A subset of the population, what responses/data is drawn from
Sample
Numerical measurements or counts
Quantitative Data
A number that describes a sample characteristic
Statistic
A number that describes a population characteristic
Parameter